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telegraf.conf
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telegraf.conf
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# Telegraf Configuration
#
# Telegraf is entirely plugin driven. All metrics are gathered from the
# declared inputs, and sent to the declared outputs.
#
# Plugins must be declared in here to be active.
# To deactivate a plugin, comment out the name and any variables.
#
# Use 'telegraf -config telegraf.conf -test' to see what metrics a config
# file would generate.
#
# Environment variables can be used anywhere in this config file, simply surround
# them with ${}. For strings the variable must be within quotes (ie, "${STR_VAR}"),
# for numbers and booleans they should be plain (ie, ${INT_VAR}, ${BOOL_VAR})
# Global tags can be specified here in key="value" format.
[global_tags]
# dc = "us-east-1" # will tag all metrics with dc=us-east-1
# rack = "1a"
## Environment variables can be used as tags, and throughout the config file
# user = "$USER"
# Configuration for telegraf agent
[agent]
## Default data collection interval for all inputs
interval = "10s"
## Rounds collection interval to 'interval'
## ie, if interval="10s" then always collect on :00, :10, :20, etc.
round_interval = true
## Telegraf will send metrics to outputs in batches of at most
## metric_batch_size metrics.
## This controls the size of writes that Telegraf sends to output plugins.
metric_batch_size = 1000
## Maximum number of unwritten metrics per output. Increasing this value
## allows for longer periods of output downtime without dropping metrics at the
## cost of higher maximum memory usage.
metric_buffer_limit = 10000
## Collection jitter is used to jitter the collection by a random amount.
## Each plugin will sleep for a random time within jitter before collecting.
## This can be used to avoid many plugins querying things like sysfs at the
## same time, which can have a measurable effect on the system.
collection_jitter = "0s"
## Collection offset is used to shift the collection by the given amount.
## This can be be used to avoid many plugins querying constraint devices
## at the same time by manually scheduling them in time.
# collection_offset = "0s"
## Default flushing interval for all outputs. Maximum flush_interval will be
## flush_interval + flush_jitter
flush_interval = "10s"
## Jitter the flush interval by a random amount. This is primarily to avoid
## large write spikes for users running a large number of telegraf instances.
## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
flush_jitter = "0s"
## Collected metrics are rounded to the precision specified. Precision is
## specified as an interval with an integer + unit (e.g. 0s, 10ms, 2us, 4s).
## Valid time units are "ns", "us" (or "µs"), "ms", "s".
##
## By default or when set to "0s", precision will be set to the same
## timestamp order as the collection interval, with the maximum being 1s:
## ie, when interval = "10s", precision will be "1s"
## when interval = "250ms", precision will be "1ms"
##
## Precision will NOT be used for service inputs. It is up to each individual
## service input to set the timestamp at the appropriate precision.
precision = "0s"
## Log at debug level.
# debug = false
## Log only error level messages.
# quiet = false
## Log target controls the destination for logs and can be one of "file",
## "stderr" or, on Windows, "eventlog". When set to "file", the output file
## is determined by the "logfile" setting.
# logtarget = "file"
## Name of the file to be logged to when using the "file" logtarget. If set to
## the empty string then logs are written to stderr.
# logfile = ""
## The logfile will be rotated after the time interval specified. When set
## to 0 no time based rotation is performed. Logs are rotated only when
## written to, if there is no log activity rotation may be delayed.
# logfile_rotation_interval = "0h"
## The logfile will be rotated when it becomes larger than the specified
## size. When set to 0 no size based rotation is performed.
# logfile_rotation_max_size = "0MB"
## Maximum number of rotated archives to keep, any older logs are deleted.
## If set to -1, no archives are removed.
# logfile_rotation_max_archives = 5
## Pick a timezone to use when logging or type 'local' for local time.
## Example: America/Chicago
# log_with_timezone = ""
## Override default hostname, if empty use os.Hostname()
hostname = ""
## If set to true, do no set the "host" tag in the telegraf agent.
omit_hostname = false
## Method of translating SNMP objects. Can be "netsnmp" which
## translates by calling external programs snmptranslate and snmptable,
## or "gosmi" which translates using the built-in gosmi library.
# snmp_translator = "netsnmp"
###############################################################################
# OUTPUT PLUGINS #
###############################################################################
# # Configuration for sending metrics to InfluxDB 2.0
# [[outputs.influxdb_v2]]
# ## The URLs of the InfluxDB cluster nodes.
# ##
# ## Multiple URLs can be specified for a single cluster, only ONE of the
# ## urls will be written to each interval.
# ## ex: urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"]
# urls = ["http://127.0.0.1:8086"]
#
# ## Token for authentication.
# token = ""
#
# ## Organization is the name of the organization you wish to write to.
# organization = ""
#
# ## Destination bucket to write into.
# bucket = ""
#
# ## The value of this tag will be used to determine the bucket. If this
# ## tag is not set the 'bucket' option is used as the default.
# # bucket_tag = ""
#
# ## If true, the bucket tag will not be added to the metric.
# # exclude_bucket_tag = false
#
# ## Timeout for HTTP messages.
# # timeout = "5s"
#
# ## Additional HTTP headers
# # http_headers = {"X-Special-Header" = "Special-Value"}
#
# ## HTTP Proxy override, if unset values the standard proxy environment
# ## variables are consulted to determine which proxy, if any, should be used.
# # http_proxy = "http://corporate.proxy:3128"
#
# ## HTTP User-Agent
# # user_agent = "telegraf"
#
# ## Content-Encoding for write request body, can be set to "gzip" to
# ## compress body or "identity" to apply no encoding.
# # content_encoding = "gzip"
#
# ## Enable or disable uint support for writing uints influxdb 2.0.
# # influx_uint_support = false
#
# ## Optional TLS Config for use on HTTP connections.
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
# # Configuration for Amon Server to send metrics to.
# [[outputs.amon]]
# ## Amon Server Key
# server_key = "my-server-key" # required.
#
# ## Amon Instance URL
# amon_instance = "https://youramoninstance" # required
#
# ## Connection timeout.
# # timeout = "5s"
# # Publishes metrics to an AMQP broker
# [[outputs.amqp]]
# ## Broker to publish to.
# ## deprecated in 1.7; use the brokers option
# # url = "amqp://localhost:5672/influxdb"
#
# ## Brokers to publish to. If multiple brokers are specified a random broker
# ## will be selected anytime a connection is established. This can be
# ## helpful for load balancing when not using a dedicated load balancer.
# brokers = ["amqp://localhost:5672/influxdb"]
#
# ## Maximum messages to send over a connection. Once this is reached, the
# ## connection is closed and a new connection is made. This can be helpful for
# ## load balancing when not using a dedicated load balancer.
# # max_messages = 0
#
# ## Exchange to declare and publish to.
# exchange = "telegraf"
#
# ## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash".
# # exchange_type = "topic"
#
# ## If true, exchange will be passively declared.
# # exchange_passive = false
#
# ## Exchange durability can be either "transient" or "durable".
# # exchange_durability = "durable"
#
# ## Additional exchange arguments.
# # exchange_arguments = { }
# # exchange_arguments = {"hash_property" = "timestamp"}
#
# ## Authentication credentials for the PLAIN auth_method.
# # username = ""
# # password = ""
#
# ## Auth method. PLAIN and EXTERNAL are supported
# ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as
# ## described here: https://www.rabbitmq.com/plugins.html
# # auth_method = "PLAIN"
#
# ## Metric tag to use as a routing key.
# ## ie, if this tag exists, its value will be used as the routing key
# # routing_tag = "host"
#
# ## Static routing key. Used when no routing_tag is set or as a fallback
# ## when the tag specified in routing tag is not found.
# # routing_key = ""
# # routing_key = "telegraf"
#
# ## Delivery Mode controls if a published message is persistent.
# ## One of "transient" or "persistent".
# # delivery_mode = "transient"
#
# ## InfluxDB database added as a message header.
# ## deprecated in 1.7; use the headers option
# # database = "telegraf"
#
# ## InfluxDB retention policy added as a message header
# ## deprecated in 1.7; use the headers option
# # retention_policy = "default"
#
# ## Static headers added to each published message.
# # headers = { }
# # headers = {"database" = "telegraf", "retention_policy" = "default"}
#
# ## Connection timeout. If not provided, will default to 5s. 0s means no
# ## timeout (not recommended).
# # timeout = "5s"
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
#
# ## Optional Proxy Configuration
# # use_proxy = false
# # proxy_url = "localhost:8888"
#
# ## If true use batch serialization format instead of line based delimiting.
# ## Only applies to data formats which are not line based such as JSON.
# ## Recommended to set to true.
# # use_batch_format = false
#
# ## Content encoding for message payloads, can be set to "gzip" to or
# ## "identity" to apply no encoding.
# ##
# ## Please note that when use_batch_format = false each amqp message contains only
# ## a single metric, it is recommended to use compression with batch format
# ## for best results.
# # content_encoding = "identity"
#
# ## Data format to output.
# ## Each data format has its own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
# # data_format = "influx"
# # Send metrics to Azure Application Insights
# [[outputs.application_insights]]
# ## Instrumentation key of the Application Insights resource.
# instrumentation_key = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxx"
#
# ## Regions that require endpoint modification https://docs.microsoft.com/en-us/azure/azure-monitor/app/custom-endpoints
# # endpoint_url = "https://dc.services.visualstudio.com/v2/track"
#
# ## Timeout for closing (default: 5s).
# # timeout = "5s"
#
# ## Enable additional diagnostic logging.
# # enable_diagnostic_logging = false
#
# ## Context Tag Sources add Application Insights context tags to a tag value.
# ##
# ## For list of allowed context tag keys see:
# ## https://github.com/microsoft/ApplicationInsights-Go/blob/master/appinsights/contracts/contexttagkeys.go
# # [outputs.application_insights.context_tag_sources]
# # "ai.cloud.role" = "kubernetes_container_name"
# # "ai.cloud.roleInstance" = "kubernetes_pod_name"
# # Sends metrics to Azure Data Explorer
# [[outputs.azure_data_explorer]]
# ## The URI property of the Azure Data Explorer resource on Azure
# ## ex: endpoint_url = https://myadxresource.australiasoutheast.kusto.windows.net
# endpoint_url = ""
#
# ## The Azure Data Explorer database that the metrics will be ingested into.
# ## The plugin will NOT generate this database automatically, it's expected that this database already exists before ingestion.
# ## ex: "exampledatabase"
# database = ""
#
# ## Timeout for Azure Data Explorer operations
# # timeout = "20s"
#
# ## Type of metrics grouping used when pushing to Azure Data Explorer.
# ## Default is "TablePerMetric" for one table per different metric.
# ## For more information, please check the plugin README.
# # metrics_grouping_type = "TablePerMetric"
#
# ## Name of the single table to store all the metrics (Only needed if metrics_grouping_type is "SingleTable").
# # table_name = ""
#
# ## Creates tables and relevant mapping if set to true(default).
# ## Skips table and mapping creation if set to false, this is useful for running Telegraf with the lowest possible permissions i.e. table ingestor role.
# # create_tables = true
#
# ## Ingestion method to use.
# ## Available options are
# ## - managed -- streaming ingestion with fallback to batched ingestion or the "queued" method below
# ## - queued -- queue up metrics data and process sequentially
# # ingestion_type = "queued"
# # Send aggregate metrics to Azure Monitor
# [[outputs.azure_monitor]]
# ## Timeout for HTTP writes.
# # timeout = "20s"
#
# ## Set the namespace prefix, defaults to "Telegraf/<input-name>".
# # namespace_prefix = "Telegraf/"
#
# ## Azure Monitor doesn't have a string value type, so convert string
# ## fields to dimensions (a.k.a. tags) if enabled. Azure Monitor allows
# ## a maximum of 10 dimensions so Telegraf will only send the first 10
# ## alphanumeric dimensions.
# # strings_as_dimensions = false
#
# ## Both region and resource_id must be set or be available via the
# ## Instance Metadata service on Azure Virtual Machines.
# #
# ## Azure Region to publish metrics against.
# ## ex: region = "southcentralus"
# # region = ""
# #
# ## The Azure Resource ID against which metric will be logged, e.g.
# ## ex: resource_id = "/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.Compute/virtualMachines/<vm_name>"
# # resource_id = ""
#
# ## Optionally, if in Azure US Government, China, or other sovereign
# ## cloud environment, set the appropriate REST endpoint for receiving
# ## metrics. (Note: region may be unused in this context)
# # endpoint_url = "https://monitoring.core.usgovcloudapi.net"
# # Configuration for Google Cloud BigQuery to send entries
# [[outputs.bigquery]]
# ## Credentials File
# credentials_file = "/path/to/service/account/key.json"
#
# ## Google Cloud Platform Project
# project = "my-gcp-project"
#
# ## The namespace for the metric descriptor
# dataset = "telegraf"
#
# ## Timeout for BigQuery operations.
# # timeout = "5s"
#
# ## Character to replace hyphens on Metric name
# # replace_hyphen_to = "_"
# # Publish Telegraf metrics to a Google Cloud PubSub topic
# [[outputs.cloud_pubsub]]
# ## Required. Name of Google Cloud Platform (GCP) Project that owns
# ## the given PubSub topic.
# project = "my-project"
#
# ## Required. Name of PubSub topic to publish metrics to.
# topic = "my-topic"
#
# ## Required. Data format to consume.
# ## Each data format has its own unique set of configuration options.
# ## Read more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
# data_format = "influx"
#
# ## Optional. Filepath for GCP credentials JSON file to authorize calls to
# ## PubSub APIs. If not set explicitly, Telegraf will attempt to use
# ## Application Default Credentials, which is preferred.
# # credentials_file = "path/to/my/creds.json"
#
# ## Optional. If true, will send all metrics per write in one PubSub message.
# # send_batched = true
#
# ## The following publish_* parameters specifically configures batching
# ## requests made to the GCP Cloud PubSub API via the PubSub Golang library. Read
# ## more here: https://godoc.org/cloud.google.com/go/pubsub#PublishSettings
#
# ## Optional. Send a request to PubSub (i.e. actually publish a batch)
# ## when it has this many PubSub messages. If send_batched is true,
# ## this is ignored and treated as if it were 1.
# # publish_count_threshold = 1000
#
# ## Optional. Send a request to PubSub (i.e. actually publish a batch)
# ## when it has this many PubSub messages. If send_batched is true,
# ## this is ignored and treated as if it were 1
# # publish_byte_threshold = 1000000
#
# ## Optional. Specifically configures requests made to the PubSub API.
# # publish_num_go_routines = 2
#
# ## Optional. Specifies a timeout for requests to the PubSub API.
# # publish_timeout = "30s"
#
# ## Optional. If true, published PubSub message data will be base64-encoded.
# # base64_data = false
#
# ## Optional. PubSub attributes to add to metrics.
# # [outputs.cloud_pubsub.attributes]
# # my_attr = "tag_value"
# # Configuration for AWS CloudWatch output.
# [[outputs.cloudwatch]]
# ## Amazon REGION
# region = "us-east-1"
#
# ## Amazon Credentials
# ## Credentials are loaded in the following order
# ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
# ## 2) Assumed credentials via STS if role_arn is specified
# ## 3) explicit credentials from 'access_key' and 'secret_key'
# ## 4) shared profile from 'profile'
# ## 5) environment variables
# ## 6) shared credentials file
# ## 7) EC2 Instance Profile
# #access_key = ""
# #secret_key = ""
# #token = ""
# #role_arn = ""
# #web_identity_token_file = ""
# #role_session_name = ""
# #profile = ""
# #shared_credential_file = ""
#
# ## Endpoint to make request against, the correct endpoint is automatically
# ## determined and this option should only be set if you wish to override the
# ## default.
# ## ex: endpoint_url = "http://localhost:8000"
# # endpoint_url = ""
#
# ## Set http_proxy
# # use_system_proxy = false
# # http_proxy_url = "http://localhost:8888"
#
# ## Namespace for the CloudWatch MetricDatums
# namespace = "InfluxData/Telegraf"
#
# ## If you have a large amount of metrics, you should consider to send statistic
# ## values instead of raw metrics which could not only improve performance but
# ## also save AWS API cost. If enable this flag, this plugin would parse the required
# ## CloudWatch statistic fields (count, min, max, and sum) and send them to CloudWatch.
# ## You could use basicstats aggregator to calculate those fields. If not all statistic
# ## fields are available, all fields would still be sent as raw metrics.
# # write_statistics = false
#
# ## Enable high resolution metrics of 1 second (if not enabled, standard resolution are of 60 seconds precision)
# # high_resolution_metrics = false
# # Configuration for AWS CloudWatchLogs output.
# [[outputs.cloudwatch_logs]]
# ## The region is the Amazon region that you wish to connect to.
# ## Examples include but are not limited to:
# ## - us-west-1
# ## - us-west-2
# ## - us-east-1
# ## - ap-southeast-1
# ## - ap-southeast-2
# ## ...
# region = "us-east-1"
#
# ## Amazon Credentials
# ## Credentials are loaded in the following order
# ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
# ## 2) Assumed credentials via STS if role_arn is specified
# ## 3) explicit credentials from 'access_key' and 'secret_key'
# ## 4) shared profile from 'profile'
# ## 5) environment variables
# ## 6) shared credentials file
# ## 7) EC2 Instance Profile
# #access_key = ""
# #secret_key = ""
# #token = ""
# #role_arn = ""
# #web_identity_token_file = ""
# #role_session_name = ""
# #profile = ""
# #shared_credential_file = ""
#
# ## Endpoint to make request against, the correct endpoint is automatically
# ## determined and this option should only be set if you wish to override the
# ## default.
# ## ex: endpoint_url = "http://localhost:8000"
# # endpoint_url = ""
#
# ## Cloud watch log group. Must be created in AWS cloudwatch logs upfront!
# ## For example, you can specify the name of the k8s cluster here to group logs from all cluster in oine place
# log_group = "my-group-name"
#
# ## Log stream in log group
# ## Either log group name or reference to metric attribute, from which it can be parsed:
# ## tag:<TAG_NAME> or field:<FIELD_NAME>. If log stream is not exist, it will be created.
# ## Since AWS is not automatically delete logs streams with expired logs entries (i.e. empty log stream)
# ## you need to put in place appropriate house-keeping (https://forums.aws.amazon.com/thread.jspa?threadID=178855)
# log_stream = "tag:location"
#
# ## Source of log data - metric name
# ## specify the name of the metric, from which the log data should be retrieved.
# ## I.e., if you are using docker_log plugin to stream logs from container, then
# ## specify log_data_metric_name = "docker_log"
# log_data_metric_name = "docker_log"
#
# ## Specify from which metric attribute the log data should be retrieved:
# ## tag:<TAG_NAME> or field:<FIELD_NAME>.
# ## I.e., if you are using docker_log plugin to stream logs from container, then
# ## specify log_data_source = "field:message"
# log_data_source = "field:message"
# # Configuration for CrateDB to send metrics to.
# [[outputs.cratedb]]
# # A github.com/jackc/pgx/v4 connection string.
# # See https://pkg.go.dev/github.com/jackc/pgx/v4#ParseConfig
# url = "postgres://user:password@localhost/schema?sslmode=disable"
# # Timeout for all CrateDB queries.
# timeout = "5s"
# # Name of the table to store metrics in.
# table = "metrics"
# # If true, and the metrics table does not exist, create it automatically.
# table_create = true
# # The character(s) to replace any '.' in an object key with
# key_separator = "_"
# # Configuration for DataDog API to send metrics to.
# [[outputs.datadog]]
# ## Datadog API key
# apikey = "my-secret-key"
#
# ## Connection timeout.
# # timeout = "5s"
#
# ## Write URL override; useful for debugging.
# # url = "https://app.datadoghq.com/api/v1/series"
#
# ## Set http_proxy
# # use_system_proxy = false
# # http_proxy_url = "http://localhost:8888"
#
# ## Override the default (none) compression used to send data.
# ## Supports: "zlib", "none"
# # compression = "none"
# # Send metrics to nowhere at all
# [[outputs.discard]]
# # no configuration
# # Send telegraf metrics to a Dynatrace environment
# [[outputs.dynatrace]]
# ## For usage with the Dynatrace OneAgent you can omit any configuration,
# ## the only requirement is that the OneAgent is running on the same host.
# ## Only setup environment url and token if you want to monitor a Host without the OneAgent present.
# ##
# ## Your Dynatrace environment URL.
# ## For Dynatrace OneAgent you can leave this empty or set it to "http://127.0.0.1:14499/metrics/ingest" (default)
# ## For Dynatrace SaaS environments the URL scheme is "https://{your-environment-id}.live.dynatrace.com/api/v2/metrics/ingest"
# ## For Dynatrace Managed environments the URL scheme is "https://{your-domain}/e/{your-environment-id}/api/v2/metrics/ingest"
# url = ""
#
# ## Your Dynatrace API token.
# ## Create an API token within your Dynatrace environment, by navigating to Settings > Integration > Dynatrace API
# ## The API token needs data ingest scope permission. When using OneAgent, no API token is required.
# api_token = ""
#
# ## Optional prefix for metric names (e.g.: "telegraf")
# prefix = "telegraf"
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Optional flag for ignoring tls certificate check
# # insecure_skip_verify = false
#
# ## Connection timeout, defaults to "5s" if not set.
# timeout = "5s"
#
# ## If you want metrics to be treated and reported as delta counters, add the metric names here
# additional_counters = [ ]
#
# ## Optional dimensions to be added to every metric
# # [outputs.dynatrace.default_dimensions]
# # default_key = "default value"
# # Configuration for Elasticsearch to send metrics to.
# [[outputs.elasticsearch]]
# ## The full HTTP endpoint URL for your Elasticsearch instance
# ## Multiple urls can be specified as part of the same cluster,
# ## this means that only ONE of the urls will be written to each interval
# urls = [ "http://node1.es.example.com:9200" ] # required.
# ## Elasticsearch client timeout, defaults to "5s" if not set.
# timeout = "5s"
# ## Set to true to ask Elasticsearch a list of all cluster nodes,
# ## thus it is not necessary to list all nodes in the urls config option
# enable_sniffer = false
# ## Set to true to enable gzip compression
# enable_gzip = false
# ## Set the interval to check if the Elasticsearch nodes are available
# ## Setting to "0s" will disable the health check (not recommended in production)
# health_check_interval = "10s"
# ## Set the timeout for periodic health checks.
# # health_check_timeout = "1s"
# ## HTTP basic authentication details.
# ## HTTP basic authentication details
# # username = "telegraf"
# # password = "mypassword"
# ## HTTP bearer token authentication details
# # auth_bearer_token = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9"
#
# ## Index Config
# ## The target index for metrics (Elasticsearch will create if it not exists).
# ## You can use the date specifiers below to create indexes per time frame.
# ## The metric timestamp will be used to decide the destination index name
# # %Y - year (2016)
# # %y - last two digits of year (00..99)
# # %m - month (01..12)
# # %d - day of month (e.g., 01)
# # %H - hour (00..23)
# # %V - week of the year (ISO week) (01..53)
# ## Additionally, you can specify a tag name using the notation {{tag_name}}
# ## which will be used as part of the index name. If the tag does not exist,
# ## the default tag value will be used.
# # index_name = "telegraf-{{host}}-%Y.%m.%d"
# # default_tag_value = "none"
# index_name = "telegraf-%Y.%m.%d" # required.
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
#
# ## Template Config
# ## Set to true if you want telegraf to manage its index template.
# ## If enabled it will create a recommended index template for telegraf indexes
# manage_template = true
# ## The template name used for telegraf indexes
# template_name = "telegraf"
# ## Set to true if you want telegraf to overwrite an existing template
# overwrite_template = false
# ## If set to true a unique ID hash will be sent as sha256(concat(timestamp,measurement,series-hash)) string
# ## it will enable data resend and update metric points avoiding duplicated metrics with diferent id's
# force_document_id = false
#
# ## Specifies the handling of NaN and Inf values.
# ## This option can have the following values:
# ## none -- do not modify field-values (default); will produce an error if NaNs or infs are encountered
# ## drop -- drop fields containing NaNs or infs
# ## replace -- replace with the value in "float_replacement_value" (default: 0.0)
# ## NaNs and inf will be replaced with the given number, -inf with the negative of that number
# # float_handling = "none"
# # float_replacement_value = 0.0
#
# ## Pipeline Config
# ## To use a ingest pipeline, set this to the name of the pipeline you want to use.
# # use_pipeline = "my_pipeline"
# ## Additionally, you can specify a tag name using the notation {{tag_name}}
# ## which will be used as part of the pipeline name. If the tag does not exist,
# ## the default pipeline will be used as the pipeline. If no default pipeline is set,
# ## no pipeline is used for the metric.
# # use_pipeline = "{{es_pipeline}}"
# # default_pipeline = "my_pipeline"
# # Configuration for Event Hubs output plugin
# [[outputs.event_hubs]]
# ## The full connection string to the Event Hub (required)
# ## The shared access key must have "Send" permissions on the target Event Hub.
# connection_string = "Endpoint=sb://namespace.servicebus.windows.net/;SharedAccessKeyName=RootManageSharedAccessKey;SharedAccessKey=superSecret1234=;EntityPath=hubName"
#
# ## Client timeout (defaults to 30s)
# # timeout = "30s"
#
# ## Partition key
# ## Metric tag or field name to use for the event partition key. The value of
# ## this tag or field is set as the key for events if it exists. If both, tag
# ## and field, exist the tag is preferred.
# # partition_key = ""
#
# ## Set the maximum batch message size in bytes
# ## The allowable size depends on the Event Hub tier
# ## See: https://learn.microsoft.com/azure/event-hubs/event-hubs-quotas#basic-vs-standard-vs-premium-vs-dedicated-tiers
# ## Setting this to 0 means using the default size from the Azure Event Hubs Client library (1000000 bytes)
# # max_message_size = 1000000
#
# ## Data format to output.
# ## Each data format has its own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
# data_format = "json"
# # Send metrics to command as input over stdin
# [[outputs.exec]]
# ## Command to ingest metrics via stdin.
# command = ["tee", "-a", "/dev/null"]
#
# ## Environment variables
# ## Array of "key=value" pairs to pass as environment variables
# ## e.g. "KEY=value", "USERNAME=John Doe",
# ## "LD_LIBRARY_PATH=/opt/custom/lib64:/usr/local/libs"
# # environment = []
#
# ## Timeout for command to complete.
# # timeout = "5s"
#
# ## Data format to output.
# ## Each data format has its own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
# # data_format = "influx"
# # Run executable as long-running output plugin
# [[outputs.execd]]
# ## One program to run as daemon.
# ## NOTE: process and each argument should each be their own string
# command = ["my-telegraf-output", "--some-flag", "value"]
#
# ## Environment variables
# ## Array of "key=value" pairs to pass as environment variables
# ## e.g. "KEY=value", "USERNAME=John Doe",
# ## "LD_LIBRARY_PATH=/opt/custom/lib64:/usr/local/libs"
# # environment = []
#
# ## Delay before the process is restarted after an unexpected termination
# restart_delay = "10s"
#
# ## Flag to determine whether execd should throw error when part of metrics is unserializable
# ## Setting this to true will skip the unserializable metrics and process the rest of metrics
# ## Setting this to false will throw error when encountering unserializable metrics and none will be processed
# # ignore_serialization_error = false
#
# ## Data format to export.
# ## Each data format has its own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
# data_format = "influx"
# # Send telegraf metrics to file(s)
# [[outputs.file]]
# ## Files to write to, "stdout" is a specially handled file.
# files = ["stdout", "/tmp/metrics.out"]
#
# ## Use batch serialization format instead of line based delimiting. The
# ## batch format allows for the production of non line based output formats and
# ## may more efficiently encode and write metrics.
# # use_batch_format = false
#
# ## The file will be rotated after the time interval specified. When set
# ## to 0 no time based rotation is performed.
# # rotation_interval = "0h"
#
# ## The logfile will be rotated when it becomes larger than the specified
# ## size. When set to 0 no size based rotation is performed.
# # rotation_max_size = "0MB"
#
# ## Maximum number of rotated archives to keep, any older logs are deleted.
# ## If set to -1, no archives are removed.
# # rotation_max_archives = 5
#
# ## Data format to output.
# ## Each data format has its own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
# data_format = "influx"
# # Configuration for Graphite server to send metrics to
# [[outputs.graphite]]
# ## TCP endpoint for your graphite instance.
# ## If multiple endpoints are configured, the output will be load balanced.
# ## Only one of the endpoints will be written to with each iteration.
# servers = ["localhost:2003"]
# ## Prefix metrics name
# prefix = ""
# ## Graphite output template
# ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
# template = "host.tags.measurement.field"
#
# ## Enable Graphite tags support
# # graphite_tag_support = false
#
# ## Define how metric names and tags are sanitized; options are "strict", or "compatible"
# ## strict - Default method, and backwards compatible with previous versionf of Telegraf
# ## compatible - More relaxed sanitizing when using tags, and compatible with the graphite spec
# # graphite_tag_sanitize_mode = "strict"
#
# ## Character for separating metric name and field for Graphite tags
# # graphite_separator = "."
#
# ## Graphite templates patterns
# ## 1. Template for cpu
# ## 2. Template for disk*
# ## 3. Default template
# # templates = [
# # "cpu tags.measurement.host.field",
# # "disk* measurement.field",
# # "host.measurement.tags.field"
# #]
#
# ## timeout in seconds for the write connection to graphite
# timeout = 2
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
# # Send telegraf metrics to graylog
# [[outputs.graylog]]
# ## Endpoints for your graylog instances.
# servers = ["udp://127.0.0.1:12201"]
#
# ## Connection timeout.
# # timeout = "5s"
#
# ## The field to use as the GELF short_message, if unset the static string
# ## "telegraf" will be used.
# ## example: short_message_field = "message"
# # short_message_field = ""
#
# ## According to GELF payload specification, additional fields names must be prefixed
# ## with an underscore. Previous versions did not prefix custom field 'name' with underscore.
# ## Set to true for backward compatibility.
# # name_field_no_prefix = false
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
# # Send telegraf metrics to GroundWork Monitor
# [[outputs.groundwork]]
# ## URL of your groundwork instance.
# url = "https://groundwork.example.com"
#
# ## Agent uuid for GroundWork API Server.
# agent_id = ""
#
# ## Username and password to access GroundWork API.
# username = ""
# password = ""
#
# ## Default application type to use in GroundWork client
# # default_app_type = "TELEGRAF"
#
# ## Default display name for the host with services(metrics).
# # default_host = "telegraf"
#
# ## Default service state.
# # default_service_state = "SERVICE_OK"
#
# ## The name of the tag that contains the hostname.
# # resource_tag = "host"
#
# ## The name of the tag that contains the host group name.
# # group_tag = "group"
# # Configurable HTTP health check resource based on metrics
# [[outputs.health]]
# ## Address and port to listen on.
# ## ex: service_address = "http://localhost:8080"
# ## service_address = "unix:///var/run/telegraf-health.sock"
# # service_address = "http://:8080"
#
# ## The maximum duration for reading the entire request.
# # read_timeout = "5s"
# ## The maximum duration for writing the entire response.
# # write_timeout = "5s"
#
# ## Username and password to accept for HTTP basic authentication.
# # basic_username = "user1"
# # basic_password = "secret"
#
# ## Allowed CA certificates for client certificates.
# # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
#
# ## TLS server certificate and private key.
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
#
# ## One or more check sub-tables should be defined, it is also recommended to
# ## use metric filtering to limit the metrics that flow into this output.
# ##
# ## When using the default buffer sizes, this example will fail when the
# ## metric buffer is half full.
# ##
# ## namepass = ["internal_write"]
# ## tagpass = { output = ["influxdb"] }
# ##
# ## [[outputs.health.compares]]
# ## field = "buffer_size"
# ## lt = 5000.0
# ##
# ## [[outputs.health.contains]]
# ## field = "buffer_size"
# # A plugin that can transmit metrics over HTTP
# [[outputs.http]]
# ## URL is the address to send metrics to
# url = "http://127.0.0.1:8080/telegraf"
#
# ## Timeout for HTTP message
# # timeout = "5s"
#
# ## HTTP method, one of: "POST" or "PUT"
# # method = "POST"
#
# ## HTTP Basic Auth credentials
# # username = "username"
# # password = "pa$$word"
#
# ## OAuth2 Client Credentials Grant
# # client_id = "clientid"
# # client_secret = "secret"
# # token_url = "https://indentityprovider/oauth2/v1/token"
# # scopes = ["urn:opc:idm:__myscopes__"]
#
# ## Goole API Auth
# # google_application_credentials = "/etc/telegraf/example_secret.json"
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
#
# ## Optional Cookie authentication
# # cookie_auth_url = "https://localhost/authMe"
# # cookie_auth_method = "POST"
# # cookie_auth_username = "username"
# # cookie_auth_password = "pa$$word"
# # cookie_auth_headers = '{"Content-Type": "application/json", "X-MY-HEADER":"hello"}'
# # cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}'
# ## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie
# # cookie_auth_renewal = "5m"
#
# ## Data format to output.
# ## Each data format has it's own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
# # data_format = "influx"
#
# ## Use batch serialization format (default) instead of line based format.
# ## Batch format is more efficient and should be used unless line based